Technical note: Visually encoding program test information to find faults in software

J. Eagan; M. J. Harrold; J. A. Jones; J. Stasko

Technical note: Visually encoding program test information to find faults in software

J. Eagan, M. J. Harrold, J. A. Jones, J. Stasko

College of Computing

Research output: Contribution to conference › Paper › peer-review

Abstract

Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.

Original language	English
Pages	33-36
Number of pages	4
Publication status	Published - 1 Jan 2001
Externally published	Yes
Event	IEEE Symposium on Information Visualization 2001 (INFOVIS) - San Diego, CA, United States Duration: 22 Oct 2001 → 23 Oct 2001

Conference

Conference	IEEE Symposium on Information Visualization 2001 (INFOVIS)
Country/Territory	United States
City	San Diego, CA
Period	22/10/01 → 23/10/01

Cite this

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title = "Technical note: Visually encoding program test information to find faults in software",

abstract = "Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.",

author = "J. Eagan and Harrold, \{M. J.\} and Jones, \{J. A.\} and J. Stasko",

year = "2001",

month = jan,

day = "1",

language = "English",

pages = "33--36",

note = "IEEE Symposium on Information Visualization 2001 (INFOVIS) ; Conference date: 22-10-2001 Through 23-10-2001",

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TY - CONF

T1 - Technical note

T2 - IEEE Symposium on Information Visualization 2001 (INFOVIS)

AU - Eagan, J.

AU - Harrold, M. J.

AU - Jones, J. A.

AU - Stasko, J.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.

AB - Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.

M3 - Paper

AN - SCOPUS:0035201396

SP - 33

EP - 36

Y2 - 22 October 2001 through 23 October 2001

ER -

Technical note: Visually encoding program test information to find faults in software

Abstract

Conference

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